AI-Driven Digital Storytelling: A Strategy for Creating English as a Foreign Language (EFL) Materials

Jose Belda-Medina, Max Benjamin Goddard
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Abstract

This study aimed to explore the intersection of Artificial Intelligence (AI) tools and digital storytelling in the context of English as a Foreign Language (EFL) education among pre-service teachers. Conducted with third-year college students enrolled in a teacher training program, the study focuses on three main objectives: assessing the participants' prior knowledge of AI tools for EFL material creation, examining their attitudes towards the use of AI in language education, and evaluating the impact of collaborative digital storytelling projects on their perspectives towards integrating AI tools in educational settings. Employing a mixed-methods approach, the study engaged a convenience sample of 115 pre-service teachers, utilizing both quantitative and qualitative research instruments such as a pre-post-test based on the Technology Acceptance Model (TAM) and class discussion. Quantitative data were analyzed using SPSS, while qualitative insights were derived through QDA Miner to ensure a comprehensive understanding of the participants' experiences and viewpoints. The findings reveal a notable gap in the pre-service teachers' prior knowledge of AI tools designed for educational purposes, indicating a limited exposure to or engagement with such technologies in their training. Despite this low level of familiarity, the study uncovers a predominantly positive attitude towards the adoption and integration of AI tools in language education. This positive disposition suggests an openness among future educators to explore and incorporate innovative technologies that can enhance teaching and learning experiences in EFL contexts. The research highlights how the practical experience of creating collaborative digital storytelling narratives using AI tools can positively influence pre-service teachers' attitudes towards technology integration. This shift in perspective underscores the potential of hands-on, project-based learning experiences to enrich teacher training programs by fostering a more receptive and adaptive mindset towards the use of emerging technologies in educational settings. The study underscores the importance of integrating AI and digital storytelling into teacher education curricula to better prepare pre-service teachers for the evolving demands of the digital age, advocating for a more informed, and innovative approach to EFL material development and teaching strategies.
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人工智能驱动的数字故事:创建英语作为外语(EFL)教材的策略
本研究旨在探讨在英语作为外语(EFL)教育的背景下,职前教师中人工智能(AI)工具与数字故事的交叉点。本研究以参加教师培训项目的大学三年级学生为对象,重点关注三个主要目标:评估参与者对用于 EFL 材料创作的人工智能工具的先前知识,考察他们对在语言教育中使用人工智能的态度,以及评估数字故事协作项目对他们在教育环境中整合人工智能工具的观点的影响。本研究采用混合方法,利用定量和定性研究工具,如基于技术接受模型(TAM)的前-后测试和课堂讨论,对 115 名职前教师进行抽样调查。定量数据使用 SPSS 进行分析,定性数据则通过 QDA Miner 得出,以确保全面了解参与者的经验和观点。研究结果表明,职前教师对为教育目的而设计的人工智能工具的事先了解存在明显差距,这表明他们在培训中接触或参与此类技术的机会有限。尽管熟悉程度不高,但研究发现,他们对在语言教育中采用和整合人工智能工具的态度主要是积极的。这种积极态度表明,未来的教育工作者对探索和采用创新技术持开放态度,这些技术可以增强 EFL 环境中的教学体验。研究强调了使用人工智能工具创建协作式数字故事叙述的实践经验如何积极影响职前教师对技术整合的态度。这种观点的转变强调了实践性的、基于项目的学习体验的潜力,通过培养对在教育环境中使用新兴技术的更容易接受和适应的心态,来丰富教师培训项目。这项研究强调了将人工智能和数字故事融入教师教育课程的重要性,以便让职前教师更好地适应数字时代不断变化的需求,同时倡导在 EFL 教材编写和教学策略方面采用更加知情和创新的方法。
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